Sponsored by
- IEEE Computer Society
- Society for Modeling and Simulation International
- Pacific Northwest National Laboratory
- ERC - Mississippi State University
- Center for Advanced TeleSysMatics, University of
Arizona
- Arizona Center for Integrative Modeling and Simulation
GENERAL CHAIR
Raymond Bair,
Pacific
Northwest National Laboratory
PROGRAM CHAIR
Ioana Banicescu,
Mississippi
State University
STEERING COMMITTEE
Salim Hariri, Chair
University
of Arizona
Raymond Bair,
Pacific
Northwest National Laboratory
Ioana Banicescu,
Mississippi
State University
Fran Berman,
University
of California at San Diego, SDSC
Jack Dongarra,
University
of Tennesse, ORNL
Thom Dunning,
JICS -
ORNL, University of Tennesse
David
Keyes,
Old Dominion
University, LLNL
Manish Parashar,
Rutgers
University
Keshav Pingali,
Cornell
University
Viktor Prasanna,
University
of Southern California
Joel
Saltz,
Ohio State
University / University of Maryland
Bernard
Zeigler,
University
of Arizona
PROGRAM COMMITTEE
Eduard Ayguade,
University
of Catalunya
David
Bader,
University
of New Mexico
Rupak Biswas,
NASA Ames Research Center
Michel Cosnard,
CNRS INRIA - Sophia Antipolis
Sajal Das,
University of Texas at Arlington
Ewa
Deelman,
University
of Southern California, ISI
Afonso
Ferreira,
CNRS INRIA
- Sophia Antipolis
Bruce Hendrickson,
Sandia
National Laboratories
William Johnston,
Lawrence
Berkeley National Laboratory
Jose
Moreira,
IBM T.J Watson Research Center
Thomas
Rauber,
University of Bayreuth
Gudula Ruenger,
Chemnitz University of Technology
David Skillicorn,
Queen's
University
Domanico Talia,
Universita
della Calabria
Virginia
Torczon,
College
of William & Mary
Jon Weissman,
University
of Minnesota
Xiadong
Zhang,
National
Science Foundation
Albert Zomaya,
University
of Sydney
IMPORTANT DATES
Submission deadline: February 28, 2003
Notification of acceptance: March 25,
2003
Final Manuscript due: April 18,
2003
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Major advances in networking,
high-end computers, large data stores and middleware capabilities are ushering
a new era of large scale, distributed applications, which dynamically marshal
resources across a heterogeneous, distributed environment. The goal
of this workshop is to encourage innovation in addressing complex issues
that arise in large-scale applications of distributed computation.
One purpose is to promote the development of new classes of applications
that effectively use distributed resources and adapt to a wide range of changing
conditions in space and time. This includes large scale applications
in cluster and grid computation, and simulations of such problems, that involve
issues related to irregularity of applications and algorithms in space and
time, variability in programming environments, heterogeneity of software
and hardware platforms, etc. For example, we are interested in approaches
that simultaneously address multiple sources of heterogeneity.
This workshop creates a forum to promote the exchange
of ideas, information, and novel developments between universities, federal
laboratories, and industry. It will provide a fertile environment
for multidisciplinary collaborative approaches towards finding solutions
to issues arising in large-scale distributed applications. Topics of
interest to this workshop include but are not limited to the following:
- Large-scale distributed science applications
- Application-specific science portals in distributed
environments
- Distributed problem-solving environments
- Distributed, collaborative science applications
- Heterogeneous spatial and temporal applications,
e.g., with heterogeneous characteristics in time, space and domain
- Distributed multidimensional adaptive applications,
e.g. 3D AMR
- Development of principles that address heterogeneous
aspects, ranging from problem to infrastructure in cluster and grid computation,
peer-to-peer computing
- Theories and tools for constructing adaptive software
systems
- Integration of various programming models for heterogeneous
computation
- Variable granularity environments
- Resource management, dynamic scheduling and load
balancing in distributed, heterogeneous environments
- Runtime support for intelligent, adaptive systems
- Portability, quality of service, or fault-tolerance
in cluster and grid computation
- Performance analysis, evaluation and prediction of
adaptive systems
PAPER SUBMISSION
CLADE 2003 invites authors to submit peer-reviewable
papers on original and unpublished work (up to 10 pages not including figures
and references) at clade2003@cs.msstate.edu.
Submission implies the willingness of at least one of the authors to register
and present the paper. For further information please contact the
program chair at clade2003@cs.msstate.edu.
PUBLICATION
The workshop proceedings will be published by the
IEEE Computer Society Press. A number of papers will also be selected
to appear in a special issue of Cluster Computing journal published by Kluwer
Academic Publishers.
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